Aerospace and Defense

Fleet managers – PEOs, PMs, PdMs, PSMs, and logisticians – face a daily challenge of developing accurate predictions and sound strategies that take into account a myriad of factors:

• Aging equipment
• Lag time in spare parts
• Reduced budgets
• Shrinking timelines
• Operations in multiple theaters
• Preparing for future challenges

Traditional forecasting methods often are inaccurate and result in a high level of risk and uncertainty in terms of operational readiness as well as budgeting. You need a next-generation solution to overcome the obstacles that complicate lifecycle planning across capital-intensive programs.

At Clockwork, we have worked with the DoD and OEMs for more than 20 years to deliver a predictive analysis platform that is purpose built to address the unique challenges inherent complexities of sophisticated high-cost combat fleets.

Working with Clockwork, gives fleet managers the software and services they need to confidently answer the questions of senior leaders from OSD, DLA, and each service branch with accurate predictions and sound, insightful strategies.

readiness through asset lifecycle support

The A&D industry supports DoD in executing the nation’s strategy while balancing the competing needs of resetting equipment from recent conflicts, sustaining worldwide operations, and modernizing warfighting capabilities.

This complex undertaking demands advanced analysis methods that deliver readiness through asset lifecycle support while ensuring you can respond across the full spectrum of operations. To be successful, you need a balanced and comprehensive approach to decision analysis to support your asset fleet sustainment practices that is evolving, iterative, and time-dependent.

Clockwork’s predictive analytics leverages your investments in growing data sets, asset tracking, and asset health monitoring to help you break away from outdated and expensive legacy sustainment. We also enable you overcome data scarcity issues and information gaps when operating in a data-poor environment.

Our high-resolution predictive analytics power complete asset lifecycle solutions. Shape modernization and growth by identifying budget offsets and funding reserves with our Asset Performance Management (APM) solution, that can illuminate a future that delivers both efficiency and effectiveness across A&D.

Learn more about our solutions

experience you can count on

With over 20 years of experience working with the DoD, OEMs, military organizations around the world, Clockwork understands your environment. We have helped not only improve asset readiness and reduce operational risk, but also generate costs avoidance and savings of billions of dollars. Our clients include:

We also work with OEMs, including:

We have experience with fleets including AAV, ITV, HMMWV, M1A1, LAV, MTVR, LVSR, MPC, M9 ACE, EFV, M-ATV, Cougar, Buffalo, M777, and TQGs. UH-1, AH-1, OH-58, V-22, B1, B2, C-135, and F-16.

Learn more about our clients

clockwork in action

How does it really work for our customers? Click the “info” icons on each logo below to learn more:

fleet management and sustainment

As you apply life-extension programs, engineering changes, and sustainment efforts to your asset fleets, Clockwork predictive analysis enables you to evaluate strategies for maintenance and inventory management using comparative measures of costs as and performance.

Our solutions support effective & efficient Acquisition, Sustainment, and Maintenance decisions related to:

• Affordability
• Trade-offs
• Should-cost and will-cost estimates
• Life cycle management

Mouse over the diagram to see how Clockwork Solutions can help you at every stage of the program lifecycle

solving real-world problems

The variability inherent in the operation and maintenance of military fleets and equipment requires any solution to adapt quickly and easily to a changing environment. For example, more operating hours results in more removal events. Protective armor creates more wear on engines, suspensions and transmissions. This compounded increase in maintenance generates more demand on support systems. The resulting effects may increase delays in repair of unserviceable components when resources are limited, and cause a lack of repair parts.

Clockworks’ predictive simulation models are comprehensive, encompassing all aspects of asset fleets and equipment along with the interrelationships in:

• Operations
• Maintenance
• Supply
• Logistics

Each asset’s configuration and operational profile are detailed along with component reliability. Maintenance concepts, supply chain elements, and sustainment strategies are represented in high resolution for a complete, interacting, time-dependent depiction of an asset’s lifecycle.

With a full range of solutions ranging from Condition Based Maintenance (CBM) to Lifecycle Management and Performance Based Logistics (PBL) through to custom studies and more, Clockwork can help you take on the tough questions.

predict asset status and future performance

Clockwork’s proven platform collects, cleans, and processes historical data, then generates detailed output depicting future operations, performance, and costs. Predictive results include:

• Maintenance requirements
• Readiness
• Costs
• Component upgrades
• Inventory levels

Clockwork accurately evaluates future metrics beyond their historical values and presents them as time-dependent results. Many possible future scenarios are evaluated. The results are time-based predictive metrics under specific conditions set by each future scenario.

Predictive analysis results are measured with customized metrics. These outputs can include dozens of simulation measurements and all their combinations. They range from availability and readiness to total down assets and assets awaiting parts or maintenance. Time-dependent, predicted values for these custom metrics, are produced by location, asset variant, and by serialized platforms.

predict the effects of part obsolescence

Evaluate risks associated with part obsolescence and diminishing manufacturing sources and material shortages (DMSMS). This is critical in determining future effects of obsolescence on asset performance and cost. Simulate risk mitigation strategies across the entire asset lifecycle as part of a business case analysis that evaluates proposed the costs and merits of obsolescence mitigation efforts.

The Clockwork platform allows you to model the timing and severity of obsolescence events as variables to represent the uncertainty associated with potential sustainment crises. These events can be evaluated in advance, and used to develop strategies to ensure you can sustain high performance levels while you contain costs.

optimize inventory levels and controlling cost

Streamline asset logistics when you optimize inventory levels and keep costs in check. Clockwork analytics represents each component to multiple levels of indenture within the asset work breakdown structure (WBS). Develop optimal inventory segmentation to ensure maximum performance while controlling cost.

Use cost data collected by fleet managers as input to predict future expenditures and savings based on variables including:

• Repairs
• Part condemnation
• Purchases
• Labor costs
• Shipments

Using a baseline performance for the future lifecycle, compare predicted performance metrics to thresholds related to readiness, part consumption, maintenance events, and inventory levels, and receive alerts when there are deviations from your goals.

predict the effects of equipment aging

Capture the full effect of equipment aging and ensure realistic predictions related to inventory levels, costs, and fleet performance. Clockwork advanced analytics applies the measured effective age of serialized assets for use in sustainment strategy development and integrated logistics support (ILS). This detailed age data establishes an accurate initial condition for each asset for use in predictive analysis. Clockwork applies effective ages for each serialized asset and, when available, at the component level. Components represented in Clockwork’s predictive models age according to usage, time, maintenance events, and component characteristics as they operate into the future. The asset’s future age reflects the predicted health of installed components.

Clockwork analytics includes time-dependent failure rates based on a multitude of factors and their effect on each asset and component across the entire future life cycle, and takes into consideration

• Effects of high optempo
• Use over long periods of time
• Reliability improvement programs such as resets

Furthermore, as repairs compound, degradation caused by successive maintenance events accumulate to further age components modeled by Clockwork. Clockwork implements asset retirements based on age.

overcome data gaps, dirty data, and the effects of uncertainty

Data fuels all analysis, but for many, this touchstone is itself problematic. In many cases, you may have large gaps of missing information. In other cases, you may have volumes of historical data with collection inconsistencies (AKA dirty data). Overarching these issues is the complexity of inherent in data collection and data management.

Clockwork’s Extract-Transform-Load (ETL) and data conditioning capabilities simplify the challenges associated with collecting, consolidating, and cleansing your data. With a vast array of data connectors, an extensible work flow editor, and a wide array of data analysis capabilities, we help you create a process that can overcome data gaps and inconsistencies as well as provide interactive editors and dashboards to validate and understand your data.

The uncontrolled variability inherent in operations, maintenance, and environment complexities generate uncertainty that cannot be assumed away or ignored when developing predictive estimates. Clockwork quantifies this uncertainty and manages data gaps to overcome these challenges and to arrive at comprehensive, accurate predictions.

Clockwork applies comprehensive simulation-based predictive models of multi-indentured assets and employs the most advanced, rigorous Design of Experiments (DOE) analysis to evaluate the impact of data gaps and uncertainty on asset performance and asset availability for the asset full life-cycle. This ensures that the best range of system characteristics and optimal strategies are identified with respect to asset performance and cost.

With Clockwork, fleet managers have a complete solution allowing data ingestion from across the enterprise, data conditioning, and advanced predictive analytics that allow comprehensive analysis of processes that compose the total life-cycle of aircraft, vehicles, equipment, and weapons systems.

deliver simultaneous analysis of multiple data sets

Fleet managers apply many distinct data development and business intelligence efforts that collect, mine, and present historical data. You can bring together these detailed and distinct data management efforts to deliver insights well beyond their separate applications.

Our proprietary Extract, Transform, and Load (ETL) and data conditioning process includes inputs from various enterprise data sources to populate predictive models. This streamlines your efforts, simplifying the process of analyzing data and visualizing it as decision-driving information.

maximize asset performance and value with apm

Use Asset Performance Management (APM) to manage the lifecycle of capital-intensive assets from purchase to end-of-life. With Clockwork’s comprehensive solutions, you get the ability to manage your critical asset performance data, from sourcing and collecting to cleaning and categorization, all to optimize inventory and sustainment strategies.

Clockwork can help your APM initiatives with comprehensive business analytics and reporting that details accurate, predicted future metrics that inform:

• Asset performance
• Asset utilization
• Repair part usage
• Maintenance planning
• Resource utilization
• ROI
• Asset down time
• Part delays

In addition, Clockwork enables fleet managers to perform analysis across large sets of operating scenarios crucial for extending asset life, reducing risk of disruptive failures, all while controlling costs.

Get the White Paper: The Top 8 APM Trends

evaluate future repair and maintenance cost per unit mile

Generate future estimates of cost per unit mile across asset fleets and by location. Our predictive models can leverage any past or current efforts to measure cost per mile based on historical operations to develop accurate cost projections based on high-resolution interactions between

• Operations
• Maintenance
• Supply chain
• Sustainment strategies
• Asset bill of materials (BOM)
• Logistics

Have a question?

Our predictive analysis platform and services can answer your specific questions like:

• What are the effects of DMSMS part obsolescence on an asset’s cost and performance?
• What are the reliability, maintainability, availability, and cost trade-offs between potential incremental improvements to an enterprise asset?
• How do specific potential incremental improvements and engineering changes impact operating and support costs over the full asset lifecycle?
• How are we potentially impacting inventory optimization with proposed engineering changes?
• What is the best recap strategy across the asset lifecycle?
• How do depot maintenance strategies compare based on cost and performance?
• What are the effects of asset and component aging on cost and performance?
• What is the best inventory allocation strategy for asset lifecycles?
• Which components are most likely to cause performance degradation across asset lifecycles?
• Which components are most likely to cause increased costs across asset lifecycles?
• How should we prioritize asset upgrades and/or engineering changes?
• What is the impact of parts and equipment upgrades and/or engineering changes on lifecycle cost and performance?
• How do various BCA options compare with respect to lifecycle cost and performance?